Lecture materials and exercises for the Princeton Neuroscience Institute's 2020 Graduate Student Bootcamp.
| Module | Instructor(s) | Topic | Description |
|---|---|---|---|
| 1 | Gabe Perez-Giz Sam Zorowitz |
Python Programming | An overview of the python scientific stack. |
| 2 | Rachel Lee Yoel Sanchez-Araujo |
Probability | Fundamentals of probability theory. |
| 3 | Yotam Sagiv Sam Zorowitz |
Model Fitting & Comparison | An introduction to model fitting in neuroscience. |
| 4 | Sarah Jo Venditto | Calculus & Diff Eq | Calculus & diff eq in neuroscience. |
| 5 | Carlos Correa Max Aragon |
Linear Algebra | Fundamentals of linear algebra. |
| 6 | Sam Zorowitz | Stats & P-values | A deeper understanding of p-values. |